GIS Lecture 9a Notes PDF
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This document discusses local functions in raster analysis, including reclassification, arithmetic operations, logical operations, and proximity analysis. It highlights the differences between raster and vector operations and emphasizes the importance of local functions as a foundation for advanced raster analysis.
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Raster Operators for Analysis: Local Functions The Raster Data Model represents continuous data using grid cells, contrasting with the object-based Vector Data Model. Raster analysis focuses on different tools and operations, categorized into four main function types: local, focal, zonal, and globa...
Raster Operators for Analysis: Local Functions The Raster Data Model represents continuous data using grid cells, contrasting with the object-based Vector Data Model. Raster analysis focuses on different tools and operations, categorized into four main function types: local, focal, zonal, and global. This lecture focuses on local functions, which analyze data on a cell-by-cell basis. Categories of Local Functions 1. Reclassification ○ Binary Masking: Assigns values (0 or 1) to represent absence/presence or suitability. Often an intermediate analysis step. ○ Classification Reduction: Consolidates multiple attribute types into fewer classes, e.g., merging coniferous and deciduous forests into "forest." ○ Classification Ranking: Assigns ranks or weights for further analysis, such as in least-cost path analysis. 2. Arithmetic Operations ○ Include addition, subtraction, multiplication, and division applied to corresponding cells across layers. ○ Example: Converting elevation data from feet to meters by multiplying by 0.305. 3. Logical Statements ○ Boolean AND: Both conditions must be true for a value of 1; otherwise, the output is 0. ○ Boolean OR: If either condition is true, the value is 1. ○ Logical queries and map algebra can be performed using raster calculators. 4. Proximity Analysis ○ Euclidean Distance: Calculates the straight-line distance of each cell to the nearest source cell. Useful as an intermediate step for analyses like buffering. Key Takeaways Raster and vector operations are inherently different due to the data models. Local functions focus on individual cells or corresponding cells across layers. The local level serves as a foundation for advanced raster analyses involving focal, zonal, and global operations. Next, we'll explore focal functions, which include neighborhoods or windows surrounding cells.